Most teams don’t struggle with data - they struggle with making sense of it.

I work with data in real business environments, where information is often messy, incomplete, and underutilized. My focus is on translating that data into clear insights that support better decisions.

My approach is simple:

• Understand the business context
• Structure the data
• Surface what actually matters

• Analyze and structure real-world datasets (sales, customer feedback, performance data)
• Build dashboards that highlight trends, gaps, and opportunities
• Translate raw data into insights that support operational and strategic decisions

Win/Loss Analysis Dashboard – BCX

• Built a Power BI dashboard analyzing business opportunities
• Identified patterns behind a 47.49% closed-won rate
• Contributed to insights that helped reduce opportunity loss by ~20%

Customer Survey Analysis – Openserve (Telkom)

• Translated customer survey data to evaluate performance across teams
• Designed dashboards highlighting service gaps and performance trends
• Enabled clearer performance comparison across Business Development and Service Managers

Here are some of the projects I’ve worked on and contributed to:

🔗 Portfolio Projects Repository
👉 https://github.com/EdnaM06/Portfolio-Projects.git
👉https://github.com/EdnaM06/BCX-Opportunity-Win-Vs-Loss-Insights.git

• A collection of data analysis projects exploring different datasets and problem spaces
• Includes data cleaning, exploratory analysis, and visualization work
• Demonstrates practical use of Python, SQL, and BI tools

✔ Structured, decision-ready datasets
✔ Clear, visual dashboards
✔ Insights grounded in real business problems
✔ Data translated into action

I’m currently transitioning into Data / Product Analytics roles and open to opportunities where I can continue building impactful, insight-driven work.